Assistant Manager | QA | Bengaluru | Engineering as a Service/ Operate

About the Role The Manager, Data Quality Engineering (M2) leads a team of Data Quality Engineers responsible for ensuring the accuracy, reliability, and integrity of large-scale data platforms and pipelines. This role drives quality strategy, automation initiatives, and engineering excellence while partnering with Data Engineering, Product, and Analytics teams to deliver trusted, business-critical data solutions. Responsibilities Lead and mentor a team of Data Quality Engineers across multiple projects and domains. Define and execute data quality, automation, and testing strategies for enterprise-scale data platforms. Drive validation of ETL pipelines, business rules, data transformations, and analytics workflows. Partner with Data Engineers, Product Managers, and Analysts to ensure data accuracy and trustworthiness. Oversee the design, development, and maintenance of scalable test automation frameworks. Establish quality standards, best practices, and governance across data engineering teams. Drive CI/CD integration and automated quality checks within data pipelines. Support hiring, performance management, career growth, and team development. Lead technical initiatives and promote continuous improvement across quality engineering processes. Influence long-term quality strategy, tooling decisions, and organizational effectiveness. Requirements 8+ years of experience in Data Quality Engineering, Software Testing, or Data Engineering . 2+ years of experience in technical leadership or people management roles. Strong expertise in SQL and Python for validating large-scale datasets and data workflows. Experience with Snowflake, Databricks, Airflow, Spark , and modern data platforms. Proven experience building and scaling data quality automation frameworks . Strong understanding of ETL validation, data transformations, and business rule testing . Experience implementing CI/CD pipelines , quality controls, and testing best practices. Demonstrated ability to mentor, coach, and develop engineering talent. Strong communication, stakeholder management, and cross-functional collaboration skills. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Success at M2 Builds High-Performing Teams through coaching, mentorship, and strong leadership. Drives Data Quality Excellence with scalable automation and testing strategies. Improves Data Reliability across critical business platforms and pipelines. Establishes Engineering Standards that increase efficiency, consistency, and quality. Delivers Organizational Impact by ensuring trusted data for business and product decisions.